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To find the row variance of columns having same name in R matrix, we can follow the below steps −First of all, create a matrix with some columns having same name.Then, use tapply along with colnames and var function to find the row variance of columns having same name.ExampleCreate the matrixLet’s create a matrix as shown below −M
To remove grey color from legend display using ggplot2, we can use theme function where we can fill legend.key argument to white with element_rect.For Example, if we have a data frame called df that contains three columns say X and Y and F where X and Y are numerical and F is categorical then we can create scatterplot between X and Y without grey color in legend display by using the command given below −ggplot(df, aes(X, Y))+geom_point(aes(colour=factor(F)))+theme(legend.key=element_rect(fill="white"))ExampleFollowing snippet creates a sample data frame −xRead More
To find the square root of each value in columns if some columns are categorical in R data frame, we can follow the below steps −First of all, create a data frame.Then, use numcolwise function from plyr package to find the square root of each value in columns if some columns are categorical.ExampleCreate the data frameLet’s create a data frame as shown below −Level
To cover legend in a box using ggplot2 in R, we can use theme function with legend.box.background and legend.box.margin argument. The legend.box.background will have a rectangular element with the help of element_rect and margin values will be set in legend.box.margin.Check out the Example given below to understand how it can be done.ExampleFollowing snippet creates a sample data frame −Score
To find the column minimum if some columns are categorical in R data frame, we can follow the below steps −First of all, create a data frame.Then, use numcolwise function from plyr package to find the column minimum if some columns are categorical.ExampleCreate the data frameLet’s create a data frame as shown below −Group
To display legend on top using ggplot2 in R, we can use theme function with legend.justification argument to top.For Example, if we have a data frame called df that contains three columns say X and Y and F where X and Y are numerical and F is categorical then we can create scatterplot between X and Y with point colored by values in F by using the command given below −ggplot(df,aes(X,Y))+geom_point(aes(colour=factor(F)))+theme(legend.justification="top")ExampleFollowing snippet creates a sample data frame −x
By default, the text size of axes titles are small but if we want to increase that size so that people can easily recognize them then theme function can be used where we can use axis.title.y argument for Y-axis and axis.title.x argument for X-axis with element_text size to larger value.Check out the Example given below to understand how it can be done.ExampleFollowing snippet creates a sample data frame −Country
To find the row median of columns having same name in R data frame, we can follow the below steps −First of all, create a data frame with some columns having same name.Then, use tapply along with colnames and median function to find the row median of columns having same name.ExampleCreate the data frameLet’s create a data frame as shown below −df
To increase the width of axes tick (both X-axis and Y-axis at the same time) using ggplot2 in R, we can use theme function with axis.ticks argument where we can set element_line argument size to a larger value.For Example, if we have a data frame called df that contains a single column X and we want to create histogram of X with wider axes ticks then we can use the command given below −ggplot(df,aes(X))+geom_histogram(bins=30)+theme(axis.ticks=element_line(size=2))ExampleFollowing snippet creates a sample data frame −x
To increase the width of axes (both X-axis and Y-axis at the same time) using ggplot2 in R, we can use theme function with axis.line argument where we can set element_line argument to a larger value.Check out the Example given below to understand how it can be done.ExampleFollowing snippet creates a sample data frame −x